Agricultural and Biosystems Engineering Publications

Campus Units

Agricultural and Biosystems Engineering, Animal Science, Food Science and Human Nutrition, Egg Industry Center

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

2019

Journal or Book Title

Transactions of the ASABE

Research Focus Area(s)

Animal Production Systems Engineering

DOI

10.13031/trans.13105

Abstract

Perching is a natural behavior of poultry. Considerable research has been done to explore the relationship between group overall perch usage and well-being of laying hens. To quantify the potential cause-effect relationship on individual hens with different health or well-being status (e.g., keel bone deformation, foot pad lesion, social ranking) in a group, it is necessary to identify perching behavior of the individual birds. However, continuously monitoring individual birds in a group poses considerable challenge. To enable such research and potential commercial application, this study developed and validated a radio frequency identification (RFID)-based automated perching monitoring system (APMS) for characterizing individual perching behaviors of group-housed poultry. The APMS consisted of a RFID module, a load cell module, and a round wooden perch. The RFID module was comprised of a high-frequency RFID reader, three customized rectangular antennas placed under the perch, and RFID transponders attached to the birds. The load cell module was comprised of a data acquisition system and two load cells supporting both ends of the perch. Daily number of perch visits (PV) and perching duration (PD) of individual birds were used to delineate perching behavior. Three identical experimental pens, five hens per pen, were equipped with the monitoring system. Two RFID transponders were attached to each hen (one per leg) and a distinct color was marked on the bird’s head for video or visual identification/validation. Performance of the APMS was validated by comparing the system outputs with manual observation/labeling over an entire day. Sensitivity and specificity of the system were shown to improve from 97.77% and 99.88% when using only the RFID module to 99.83% and 99.93% when incorporating weight information from the load cell module, respectively. Using this system, we conducted a preliminary trial on the relationship of perching behavior vs. body weight of laying hens, which revealed little effect of body weight but considerable variability in perching behavior among the individual hens. The study demonstrated that the APMS has an excellent performance in measuring perching behaviors of individual birds in a group. The APMS offers great potentials for delineating individual differences in perching behavior among hens with different social status or health conditions in a group setting.

Comments

This is a manuscript of the article Wang, Kailao, Kai Liu, Hongwei Xin, Lilong Chai, Yu Wang, Tao Fei, Jofran Oliveira, Jinming Pan, and Yibin Ying. "An RFID-Based Automated Individual Perching Monitoring System for Group-Housed Poultry." Transactions of the ASABE (2019). DOI: 10.13031/trans.13105. Posted with permission.

Copyright Owner

American Society of Agricultural and Biological Engineers

Language

en

File Format

application/pdf

Published Version

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